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Review
. 2023 Jan 28;23(3):1466.
doi: 10.3390/s23031466.

Swarm Intelligence in Internet of Medical Things: A Review

Roohallah Alizadehsani  1 , Mohamad Roshanzamir  2 , Navid Hoseini Izadi  3 , Raffaele Gravina  4 , H M Dipu Kabir  1 , Darius Nahavandi  1 , Hamid Alinejad-Rokny  5   6   7 , Abbas Khosravi  1 , U Rajendra Acharya  8   9   10 , Saeid Nahavandi  1   11 , Giancarlo Fortino  4
Affiliations
Review

Swarm Intelligence in Internet of Medical Things: A Review

Roohallah Alizadehsani et al. Sensors (Basel). .

Abstract

Continuous advancements of technologies such as machine-to-machine interactions and big data analysis have led to the internet of things (IoT) making information sharing and smart decision-making possible using everyday devices. On the other hand, swarm intelligence (SI) algorithms seek to establish constructive interaction among agents regardless of their intelligence level. In SI algorithms, multiple individuals run simultaneously and possibly in a cooperative manner to address complex nonlinear problems. In this paper, the application of SI algorithms in IoT is investigated with a special focus on the internet of medical things (IoMT). The role of wearable devices in IoMT is briefly reviewed. Existing works on applications of SI in addressing IoMT problems are discussed. Possible problems include disease prediction, data encryption, missing values prediction, resource allocation, network routing, and hardware failure management. Finally, research perspectives and future trends are outlined.

Keywords: internet of medical things; internet of things; internet of things in health; swarm intelligence algorithm; wearable devices; wireless sensor network.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The number of reviewed papers.
Figure 2
Figure 2
Search statistics extracted from Scopus related to the application of SI in IoT: (a) per subject area, (b) per publication type, and (c) per year.
Figure 3
Figure 3
Search statistics extracted from Scopus related to the application of SI in IoMT: (a) per publication type, (b) per year.
Figure 4
Figure 4
Components of IoT technology.
Figure 5
Figure 5
Stages of IoT in Healthcare (IoMT).
Figure 6
Figure 6
Nature-inspired meta-heuristic algorithms and the position of SI algorithms in them.
Figure 7
Figure 7
Statistics of PSO, ACO, ABC, and other SI algorithms in the field of IoT/IoMT.
See this image and copyright information in PMC

References

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